Two Decades of Network Science: as seen through the co-authorship network of network scientists
Two Decades of Network Science: as seen through the co-authorship network of network scientists
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DOI：
10.1145/3341161.3343685
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发表时间：
2019-08
期刊：
影响因子：
--
通讯作者：
Roland Molontay;Marcell Nagy
中科院分区：
文献类型：
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作者：
Roland Molontay;Marcell Nagy
自从 Watts & Strogatz、Barabási & Albert 和 Girvan & Newman 分别发表了关于小世界网络、无标度网络和复杂网络的社区结构的高被引用的开创性论文以来，复杂网络在过去二十年中引起了广泛的研究兴趣。这些基础论文开创了研究的新时代，建立了一个称为网络科学的跨学科领域。由于该领域的多学科性质，过去 20 年来出现了一个多元化但不分裂的网络科学界。本文通过网络科学家日益增长的合着网络来探索该社区的演变，以表彰网络科学的贡献（这里的概念是指至少一篇论文引用了上述三篇里程碑论文中至少一篇的学者）。在调查了 29,528 篇网络科学论文的各种特征后，我们构建了 52,406 名网络科学家的共同作者网络，并分析了其拓扑和动态。通过研究合着网络的众多结构特性并使用增强的数据可视化技术，我们揭示了过去 20 年网络科学的协作模式。我们还确定了最核心的作者、最大的社区，调查时空变化，并将网络的属性与科学计量指标进行比较。
Complex networks have attracted a great deal of research interest in the last two decades since Watts & Strogatz, Barabási & Albert and Girvan & Newman published their highly-cited seminal papers on small-world networks, on scale-free networks and on the community structure of complex networks, respectively. These fundamental papers initiated a new era of research establishing an interdisciplinary field called network science. Due to the multidisciplinary nature of the field, a diverse but not divided network science community has emerged in the past 20 years. This paper honors the contributions of network science by exploring the evolution of this community as seen through the growing co-authorship network of network scientists (here the notion refers to a scholar with at least one paper citing at least one of the three aforementioned milestone papers). After investigating various characteristics of 29,528 network science papers, we construct the co-authorship network of 52,406 network scientists and we analyze its topology and dynamics. We shed light on the collaboration patterns of the last 20 years of network science by investigating numerous structural properties of the co-authorship network and by using enhanced data visualization techniques. We also identify the most central authors, the largest communities, investigate the spatiotemporal changes, and compare the properties of the network to scientometric indicators.